Fast Convolution of Matrices

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Documentation for package ‘pfocal’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

binomial_kernel	Compute an Binomial kernel
chebyshev_distance_kernel	Compute an Distance kernel
distance_kernel	Compute an Distance kernel
euclidean_distance_kernel	Compute an Distance kernel
exponential_kernel	Compute an Exponential kernel
gaussian_kernel_confidence	Compute a Gaussian kernel
gaussian_kernel_radius	Compute a Gaussian kernel
hard_uniform_circle_kernel	Compute an Circular kernel
horizontal_distance_kernel	Compute an Distance kernel
kernel-binomial	Compute an Binomial kernel
kernel-circular	Compute an Circular kernel
kernel-distance	Compute an Distance kernel
kernel-exponential	Compute an Exponential kernel
kernel-gaussian	Compute a Gaussian kernel
kernel_flip_both	Flip a kernel
kernel_flip_horizontal	Flip a kernel
kernel_flip_vertical	Flip a kernel
manhattan_distance_kernel	Compute an Distance kernel
minkowski_distance_kernel	Compute an Distance kernel
normalize_kernel	Normalize a kernel
pfocal	Fast, parallel implementation of grid data convolution
pfocal_fast_abs_rectangle	Fast methods for common kernel computations
pfocal_fast_binomial	Fast methods for common kernel computations
pfocal_fast_gaussian_confidence	Fast methods for common kernel computations
pfocal_fast_gaussian_radius	Fast methods for common kernel computations
pfocal_fast_separated	Fast methods for common kernel computations
pfocal_info_mean_divisor	Retrieve kernel and arguments information
pfocal_info_nan_policy	Retrieve kernel and arguments information
pfocal_info_reduce	Retrieve kernel and arguments information
pfocal_info_transform	Retrieve kernel and arguments information
pfocal_info_variance	Retrieve kernel and arguments information
smooth_uniform_circle_kernel	Compute an Circular kernel
vertical_distance_kernel	Compute an Distance kernel